# Automated Diabetic Retinopathy Detection Using VGG19 Deep Learning Architecture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-diabetic-retinopathy-detection-using-vgg19-deep-learning-architecture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saurabh Fulara,Kanegonda Ravi Chythanya,Neha Sharma,Chandra Kishore,Gaurav Tuteja |
| Citations | 0 |
| DOI | 10.1109/sceecs68810.2026.11429956 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7139123697 |
| Type | conference-paper |
| Year | 2026 |

## Paper authors

- [Saurabh Fulara](https://scholariq.org/researchers/saurabh-fulara/)

## Paper primary topic

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Paper topics

- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Retinal Diseases and Treatments](https://scholariq.org/topics/retinal-diseases-and-treatments/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.